Metadata-Version: 2.1
Name: outlier_hub
Version: 0.0.5
Summary: Outlierhub, a collection of machine learning datasets.
Home-page: UNKNOWN
Author: Max Luebbering, Rajkumar Ramamurthy, Michael Gebauer
License: UNKNOWN
Description: # OutlierHub
        
        [![CircleCI](https://circleci.com/gh/fraunhofer-iais/outlierhub.svg?style=svg)](https://circleci.com/gh/fraunhofer-iais/outlierhub)
        
        
        a curated hub for outlier and anomaly datasets built on top of [datastack](https://github.com/le1nux/datastack).
        
        Currentyly supported datasets:
        
        * ATIS
        * ARRHYTHMIA
        * KDD
        * REUTERS
        * TREC
        * [MNIST](http://yann.lecun.com/exdb/mnist/)
        * [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist)
        
        Furthermore, OutlierHub supports the following toy datasets:
        
        * Half Moons
        * Nested Circles
        * Noisy x -> x^3 regression
        * Uniform Noise
        * Gaussian Cluster
        
        # Install 
        
        Clone or download the repository and `cd` into OutlierHub's root folder and run
        
        ```bash
        pip install src/
        ```
        
        # Usage
        
        Each dataset has a factory that can be instantiated with a `StorageConnector` providing the IO operations. 
        After factory instantiation, the factory is able to create a dataset iterator when calling its member method `get_dataset_iterator(config={...})`  
        
        **Copyright 2020 Fraunhofer IAIS**
        
        For license please see: https://github.com/fraunhofer-iais/outlierhub/blob/master/LICENSE
        
Platform: UNKNOWN
Requires-Python: >=3.7
Description-Content-Type: text/markdown
